My first few months with Tableau Prep: What I learned and loved
By: Tableau Software View more from Tableau Software >>
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6 steps to a successful machine learning journey
By: AWS
Type: Infographic
Learn how to achieve success with machine learning.
Businesses can unlock significant value across the organization with the help of artificial intelligence (AI) and machine learning (ML).
Follow the proven path to machine learning success. The 6 Steps to Machine Learning Success eBook will guide you on your ML journey and help you achieve measurable results at every stage along the way. Read the eBook to learn about:
- A successful machine learning journey in 6 steps
- How to transform ML investments into competitive advantages
- Inspiring stories of industry leaders who’ve successfully implemented machine learning
- Insights from AWS machine learning experts
These are also closely related to: "My first few months with Tableau Prep: What I learned and loved"
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Accelerate machine learning innovation through security
By: AWS
Type: eBook
How security helps deliver machine learning results.
To build successful machine learning models, you often need datasets unique to your business. These datasets are extremely valuable assets and need to be secured throughout every step of machine learning—including data preparation, training, validation, and inference.
Amazon SageMaker, a fully managed machine learning service, provides comprehensive security features that can help your organization meet the strict security requirements of machine learning workloads.
Read the Accelerate Machine Learning Through Security eBook to learn how security features from Amazon SageMaker and the AWS Cloud can help you go from idea to production faster.
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19 machine learning interview questions and answers
By: TechTarget ComputerWeekly.com
Type: eGuide
Aspiring machine learning job candidates should be fluent in varied aspects of machine learning, from statistical theory and programming concepts to general industry knowledge.
Read our list of commonly asked machine learning questions and accompanying answers to help you prepare for your interview.
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The cybersecurity potential of deep learning
By: Deep Instinct
Type: Analyst Report
Amidst the cybersecurity skills shortage, organizations are hard pressed to find new answers to evolving problems. Deep learning, a subset of machine learning, offers a highly accurate way to identify attack patterns and stop threats before they become attacks, without the need for highly skilled cybersecurity experts. Read on to learn more.
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Deep learning vs. machine learning in cybersecurity
By: Deep Instinct
Type: eBook
This eBook compares the differences between deep learning and machine learning tools for cybersecurity, helping you determine which makes the most sense for your business. Read the eBook here.
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How RPA and machine learning work together in the enterprise
By: TechTarget ComputerWeekly.com
Type: eGuide
More enterprises have adopted RPA functions to automate rote, repetitive tasks, but sometimes they need more capabilities. Enter machine learning functions and the result is "intelligent automation" which, unlike RPA, can learn and adapt.
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CW Innovation Awards: Jio taps machine learning to manage telco network
By: TechTarget ComputerWeekly.com
Type: eGuide
In this case study, learn how India's largest telecom operator built its own machine learning platform to meet the growing data and signalling requirements of new networks.
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4 steps for operationalizing machine learning (ML) models
By: Red Hat
Type: White Paper
In this white paper, you’ll discover how adopting machine learning operations (MLOps) practices can save time and money in your efforts to build, deploy, and manage machine learning models and applications. Read on to learn about 4 steps you can take to support reliable MLOps across your business environment.
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10 common uses for machine learning applications in business
By: TechTarget ComputerWeekly.com
Type: eGuide
Machine learning (ML) enables businesses to perform tasks on a scale previously thought impossible. As a result, many organizations are finding ways to harness ML to not just drive efficiencies but to fuel new business opportunities. Here are 10 applications of ML that are being used to solve problems & deliver tangible business benefits:
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Collecting data is great, but you must use it intelligently
By: Hewlett Packard Enterprise
Type: Resource
To accelerate your digital transformation, organizations must find a way to intelligently use the data they collect to empower employees and deliver enhanced customer experiences. Having the data is nice, but it is what you do with it that changes everything. Read on to learn more about unlocking your data to drive innovation.
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How to build a machine learning model in 7 steps
By: TechTarget ComputerWeekly.com
Type: eGuide
Organizations are implementing AI projects for numerous applications in a wide range of industries. But building a viable, reliable and agile machine learning model takes patience, preparation and perseverance. In this e-guide, we take a look into the main steps for building an efficient machine learning model.
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To be a data-first business, it requires constant vigilance
By: Hewlett Packard Enterprise
Type: Resource
Regardless of how your organization manages its data, cyberattacks happen. Even those with a cloud-first, data-centric business model can be attacked. However, by introducing security into your projects early on, you can ensure your organization is using secure-by-design principles. Read on to learn more about continuous data protection.
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Notion AI: What you can learn from the millions of users
By: Notion Labs
Type: White Paper
Notion AI has been utilized by millions of people at this point. For the past few months our user research team has been studying how people are working with Notion AI. This white paper presents a quick look at what we’ve learned — and how you can put these learnings to work. Dive into the white paper
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Transforming UC & collaboration with advanced AV solutions: A guide
By: Shure Inc
Type: White Paper
Download this white paper for insights on potential gaps in your current UC portfolio, recommendations for how to fill them, and learn from two success cases on how to capitalize on the lucrative AV opportunity.
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What password recommendations your company should adopt
By: TechTarget
Type: Resource
In this expert guide to Password Security Guidelines, learn how you can keep your enterprise safe by improving your password policies today. We ask you to participate in our Security Market Research Program to receive a free download of the guide.
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Threat intelligence: AI vs. traditional threat management
By: Bottomline Technologies, Inc.
Type: eGuide
As traditional antivirus programs and intrusion detection systems become ineffective against ransomware and advanced persistent threats, it’s become imperative for organizations to take proactive approaches – such as AI-driven threat intelligence. Take the survey to access Traditional Threat Management vs. AI-Driven Threat Intelligence.
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5 Advantages of Deep Learning in Cybersecurity
By: Deep Instinct
Type: Blog
There is an opportunity for a transformational change to adopt superior threat prevention, brought about by the most advanced form of AI – deep learning (DL). But what is deep learning, and why should you care? Find answers in this blog, which explores the key differences between DL and machine learning.
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AI/ML deployment: How to overcome key challenges
By: Red Hat
Type: eBook
In this e-book, you’ll discover how you can leverage the transformative power of artificial intelligence (AI), machine learning (ML), and deep learning (DL) to make the most of your data. Read on to learn how you can overcome the most troublesome deployment challenges and build a production-ready AI/ML environment.
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The guide you need for field service management & vendors
By: ServiceNow
Type: Gartner Research Report
For organizations looking to upgrade their field service management offerings, there are many benefits to an initiative like this. Whether it’s optimizing scheduling, improving CX, or having the ability to offer connected field service and outcome-based contracts will give you the advantage you need. Read this Gartner report to learn more.
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5 applications for machine learning in threat detection
By: AT&T
Type: Presentation Transcript
Dive into this webinar amplifier resource for an in-depth look at the challenges of optimizing your SOC, the benefits of using machine learning in threat detection, and a breakdown of 5 easy-to-understand use cases.
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A network automation roadmap to reap tech's best benefits
By: TechTarget Networking
Type: eBook
A network automation roadmap can help guide organizations through the Wild West of modern networking in order to reap benefits that automation can bring to employees, customers and partners. Reducing labor-intensive tasks does entail changing a network engineer's work, though.
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Bring Differentiated Therapeutics to Market Faster
By: AWS Marketplace
Type: eBook
Leading life sciences organizations like Moderna, AstraZeneca, and Thermo Fisher Scientific leverage AWS to remove the undifferentiated heavy lifting to focus more time and resources on bringing new and differentiated treatments to market. Read this eBook to learn how you can do the same.
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Providing an equitable, personalized learning experience anywhere
By: Connection
Type: White Paper
Education has always relied on tools that improve communication and collaboration. But today’s complicated technology solutions and clunky integrations take time away from dedicated learning hours and create headaches
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5 pillars of an effective AI/ML platform
By: Red Hat
Type: White Paper
In this white paper, you’ll learn about the top 5 considerations you should make for your AI/ML platform. Read on to learn how you can enable your organization to create data-driven apps in a security-focused and collaborative way.
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Lean portfolio management: How to make the shift
By: Atlassian
Type: White Paper
In this paper, you’ll learn about the five important shifts that portfolio managers must make as they move to a lean approach to planning, funding, and tracking product development work. Read the full paper now.
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Explore the many benefits of modern edge computing
By: Red Hat and Intel
Type: eBook
No matter the industry, businesses rely on the network edge as its main source of data collection. Whether it’s operational data, or user-generated data collected by your employees, it holds tremendous value. However, if your edge does not share the same management tools as your data center, you run the risk of creating silos. Read on to see why.
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Introducing Deep Instinct Prevention for NAS Storage
By: Deep Instinct
Type: Webcast
How secure is your file storage? The consolidation of data from various endpoints has transformed your critical data repositories into major attack vectors, providing a one-stop shop for attackers. Fortunately, deep learning can close this critical gap in your cybersecurity defense. Watch this webcast to learn more.
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How to build supply chain resiliency with automation
By: Blue Yonder
Type: eBook
Recent history has proven that supply chain disruptions can be caused by all kinds of factors both locally and globally. Because of that, ensuring that your logistical operations are resilient is critical. But if you haven’t begun your journey to supply chain digital transformation, the time to start is now. Read on to learn how to get started.
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A Computer Weekly buyer's guide to training programmes and tools
By: TechTarget ComputerWeekly.com
Type: eBook
It's important for an organisation to pick training tools that suit its needs. In this 16-page buyer's guide, Computer Weekly looks at how to cultivate the right learning culture, the best security training options and why post-pandemic reskilling needs to focus on main frames.
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AI disruption: How automation can help not hurt jobs
By: Documation Software Ltd
Type: White Paper
As more and more organizations continue to integrate AI into their operations, many are worried that this technology will affect or replace their jobs. But never fear, automation and machine learning are only here to help rather than destroy teams. Browse this white paper to learn more.
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How to become an artificial intelligence engineer, step by step
By: TechTarget ComputerWeekly.com
Type: eGuide
Artificial intelligence engineers are in great demand and typically earn six-figure salaries. In this e-guide, learn what it takes to launch a rewarding career as an AI engineer, including required skills, responsibilities, qualifications, educational opportunities and top salaries.
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CW ANZ: Taming the data beast
By: TechTarget ComputerWeekly.com
Type: Ezine
Software-defined storage (SDS), which promises greater transparency and control over data, is an increasingly important tool in the enterprise technology armoury. In this issue of CW ANZ, we look at how Australian enterprises are turning to SDS to improve data management and direct data to different tiers of storage or to applications.
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How machine learning is transforming media & entertainment
By: AWS
Type: eBook
As consumer demand continues to surge, the digital media market abounds with opportunity. By leveraging machine learning, you can enable your business to optimize the way it creates, delivers, and measures the impact of your content creation efforts. Read on to learn how you can build and deliver content faster to maximize the customer experience.
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Solving the Contact Center Labor Shortage: How Outsourcing Can Help Improve CX
By: InflowCX
Type: Blog
In the tech sector, labor shortages are plaguing many organizations. Whether it’s cybersecurity or other roles, the battle for talent is real. However, what is not looked at is the labor shortage in the contact center. Why is this critical? This team directly impacts your customer experience, and ultimately, future sales. Read on to learn more.
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The state of cloud identity security
By: Amazon Web Services
Type: eBook
Currently, machine identities outweigh human ones by a factor of 45 to 1. But What does this mean for security teams? Download this e-book to learn more about the state of identity securities and learn to secure non-human identities and manage secrets in multi-cloud environments.
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Top 5 ways developers and data scientists can collaborate
By: Red Hat and Intel
Type: White Paper
Learn how to build effective AI apps through collaborating with data scientists. This Red Hat white paper provides a 5-step checklist for developers to understand data science workflows, find common ground, learn model tools, keep using familiar dev tools, and remember models are part of apps. Read now to improve your AI app development.
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Artificial Intelligence, For Real
By: TechTarget ComputerWeekly.com
Type: eGuide
This e-guide features some of our coverage of AI: showing it realised for business benefit, interacting with the containerisation trend and cyber-security and cogitated upon with scholarly seriousness.
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Case study: Group messaging solution
By: Hinduja Global Solutions
Type: Case Study
A rental car agency was experiencing bottlenecks when arranging replacement vehicles for stranded rental car drivers. In this case study, you’ll learn how a group messaging solution enabled faster available car tracing to drive positive customer satisfaction. Read on to learn more.
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Recruit or Automate to Fill the Gap in Accounts Payable?
By: Documation Software Ltd
Type: White Paper
We’ve all seen the headlines in the news about who’s job is going to be replaced by AI or automation. While most leaders still feel there is an ongoing skills gap, there are several ways to address it. In the world of finance, leaders are faced with tough decisions like investing in automation, people, or both. Read on to learn more.
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The EVIL-ution of ransomware: What to know
By: Palo Alto Networks
Type: Video
Ransomware attacks are not going away any time soon. Having your organization believing and trusting in your security protocols is important, especially when it comes to securing your network. Watch this video to learn more about the evolution of ransomware and what you can do to protect yourself today.
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10 AI and machine learning use cases in ITSM
By: TechTarget ComputerWeekly.com
Type: eGuide
AI-enabled ITSM, while still maturing, promises to greatly improve the speed and quality of IT service management. Here are 10 AI and machine learning use cases for ITSM
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Unlock Contact Center Insights with Conversation Analytics
By: InflowCX
Type: Webcast
Your contact center agents spend all day interacting with your customers. The data they collect is invaluable for your business when it comes to enhancing your customer experience and future sales. However, if you don’t have the right platform for them, they may not collect all the relevant data you need. Watch this video to see how to fix that.
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How to stand up a data pipeline quicker than ever before
By: AllCloud
Type: Data Sheet
Data analytics is a hot topic for good reason. These programs hold a lot of promise. So then why do 85% of big data projects fail to move past the preliminary stage? It simply takes too long. On average, a data analytics program can take up to 9 months. In the speed of business, that is too long. Read on to learn about a solution that changes that.
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Creating Intelligent SOCs: Cortex XSOAR Top Machine Learning Use Cases
By: Palo Alto Networks
Type: White Paper
Read this white paper to explore 6 use cases that describe the challenge SOCs face, how Cortex XSOAR helps and the benefits these capabilities provide.
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10 reasons you should consider AI-powered endpoint security
By: iT1 Source
Type: Product Overview
In this overview, discover ten reasons why you should consider adopting an EDR solution that is powered by AI and automation.
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The Business Bottleneck
By: VMware Tanzu
Type: eBook
When it comes to digital transformation and making better use of your software solutions, there is often a disconnect between IT and the rest of the business. How a business utilizes their software to enhance the customer experience is what separates them from the competition. Read on to learn how to use software to run and develop your business.
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An innovative approach to intrusion prevention
By: Palo Alto Networks
Type: White Paper
Modern cyberattacks are not only growing in volume, but in sophistication too. Organizations are facing threats across the network, the cloud, and even SaaS environments. Because of this, security teams must keep pace with the constantly evolving threat landscape. It’s easier now than ever before. Read on to find out why.
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Reinventing the Auto Market with Software Defined Vehicles
By: Reply
Type: Blog
In today’s digital-first world, customers expect high levels of automation and connectivity, and this includes the vehicles we buy. At first, we enjoyed Bluetooth and voice commands, but now that cars are more connected than ever before, we can see traffic, hazards, and more. Read on to learn more about the future of software-defined vehicles.
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Introducing Documation Expense Management Solution
By: Documation Software Ltd
Type: Video
For organizations that have expense budgets for various departments within the business, employees know what a hassle completing expense reports can be. Whether it is currency conversions, different languages, or just manual processes that can be error-prone, there are lots of challenges. But there doesn’t have to be. Watch this video to see why.
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Threat actors’ AI strategies: 101 lesson
By: Trustwave
Type: Webcast
How are AI models like ChatGPT transforming InfoSec? Find out in this webcast, which features insights from Senior Security Research Manager of Trustwave SpiderLabs’ Threat Intelligence Team, Karl Sigler.